4.4 Article Proceedings Paper

Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series

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Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series

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Summary: Access to high-quality data repositories and benchmarks is crucial for advancing experimental research. Exathlon is introduced as the first comprehensive public benchmark for explainable anomaly detection over high-dimensional time series data, systematically constructed based on real data traces from repeated executions of large-scale stream processing jobs on an Apache Spark cluster.

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